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Record W2118188122 · doi:10.5014/ajot.59.5.516

Disability Studies at the Population Level: Issues of Health Service Utilization

2005· article· en· W2118188122 on OpenAlexaffabout
Mary Ann McColl

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsQueen's University
Fundersnot available
KeywordsHealth servicesHealth careEquity (law)PopulationHealth equityNational Health Interview SurveyMedicineSample (material)GerontologyEnvironmental healthHealth professionalsPsychologyNursingPublic health

Abstract

fetched live from OpenAlex

OBJECTIVE: In this paper, I propose a population-level analysis of disability to raise issues of access and equity in terms of use of health services. METHOD: The study was a cross-sectional analysis of the National Population Health Survey (Statistics Canada, 1998-1999). The sample consisted of 10,898 adults between 20 and 64 years of age. FINDINGS: The study showed that adults with disabilities used significantly more of all types of health professionals and health services than nondisabled adults. Disability was a significant determinant of all types of health service use, representing a two- to threefold increase in risk of seeing health professionals. Although poor health explained a large proportion of variance attributable to use of medical and nursing services, it did not explain the use of other allied health services. The results are interpreted in terms of structural barriers to access to health services. The findings also remind us of the potential role for occupational therapists as advocates within the health care system for persons with disabilities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.311
GPT teacher head0.534
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations49
Published2005
Admission routes2
Has abstractyes

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